Artificial intelligence is effectively applied in the medical field, with great potential in improving and planning patient health care. The application of AI in this field not only enhances diagnostic and treatment capabilities, but also helps optimize care processes, predict disease trends and enhance interaction between doctors and patients.
The combination of AI and medicine has opened up many new perspectives in improving the quality of healthcare. How to apply artificial intelligence in medicine to plan patient health care?
1. What benefits does artificial intelligence in healthcare bring?
The specialness of artificial intelligence applications in the medical field lies in the ability to collect, process information and provide accurate and reliable results to users. The applications of artificial intelligence in healthcare are very diverse, from supporting diagnosis, treatment, research to patient health care management.
Many medical facilities are also turning to AI software to optimize operations and enhance patient experience. Artificial intelligence applications provide quick and accurate diagnostic results, minimize unnecessary errors, and enhance online healthcare for patients.
2. Applying artificial intelligence in medicine to plan patient health care.
The application of artificial intelligence is increasing, creating clear benefits in life, especially in the field of health care. Some notable medical artificial intelligence applications that have brought effective benefits recently are as follows:
👉AI supports disease diagnosis.
Mistakes in the diagnostic process significantly affect the rate of medical errors, which can cause serious consequences for patients. Artificial intelligence is currently proving important in disease diagnosis, especially in the case of accurate cancer diagnosis.
Specifically, IBM's Watson applies machine learning to support tumor classification by genetic type, helping doctors choose the optimal treatment method. Research at the Manipal Comprehensive Cancer Center in Bangalore, India, shows that artificial intelligence applications reduce clinical trial screening times by up to 78%, with a diagnostic accuracy rate of up to 96% for lung cancer, 81% for colon cancer and 93% for rectal cancer.
Medical artificial intelligence-enabled diagnostic platforms such as Ultromics at John Radcliffe Hospital in the UK and Optellum all provide accurate diagnostic solutions in detecting and treating lung cancer. Google is also developing an AI system to identify signs of prostate cancer accurately and promptly during the diagnosis process.
👉AI X-ray application.
The application of artificial intelligence in X-ray image interpretation has demonstrated its ability to assist in detecting small variations that doctors may miss. Aidoc is an AI system that effectively interacts with radiologists to identify and highlight acute conditions in CT images, effectively reducing patient care and management time.
Data shows that Aidoc analyzed more than 3 million images, sent more than 880 thousand notifications and prioritized treatment for more than 580 thousand cases, saving up to 3.5 million minutes of turnaround time. Furthermore, in breast cancer detection, AI has shown a superior sensitivity, with significantly increased detection rates when powered by AI.
👉Artificial intelligence chatbot in healthcare.
Chatbot is one of the notable applications of artificial intelligence in healthcare. This application can act as a guide, recognize voice and assist users in self-assessment of their health status.
A typical example of a Chatbot application in the medical field is Ada - an application that helps users self-manage their health by asking questions about their symptoms. The app connects with medical professionals to provide effective health care information and services.
Another Chatbot application, Symptomate, is also highly appreciated for its ability to listen to patients, quickly find the cause of symptoms, and accurately analyze and evaluate health conditions. From there, propose appropriate care methods for each person's health condition.
👉Manage electronic health records with AI
In 2009, the U.S. Department of Health began promoting the use of Electronic Health Records (EHRs). Managing health records is one of the most time-consuming tasks for medical staff in healthcare facilities. This medical artificial intelligence technology promises to assist healthcare providers in collecting, storing and tracking data.
👉Application of artificial intelligence in medical robots.
Application of artificial intelligence technology in the medical field in robots and supporting medical devices. For example, pharmacy robots can provide opportunities for communication between patients and medical professionals, and mobility assistive devices can assist in adjusting walking, standing, or sitting in conjunction with designed robots. The design can interact and diagnose patients. Robots are also applied during surgery, acting as doctors' assistants, in which the da Vinci surgical system is known as the most popular robotic surgery platform.
Artificial intelligence technology in healthcare has the potential to improve the quality of healthcare. To bring better efficiency, the researchers propose to develop a multi-level medical AI service network in developing countries, including a system for applying artificial intelligence in frontline and frontline health care. regional and national level.
